About the Journal

The Journal of Generative AI in Public Sector (AIPOST) is a peer-reviewed, open-access scholarly journal dedicated to advancing the understanding and application of generative artificial intelligence (AI) within government, public administration, and social service contexts. AIPOST provides a platform for academics, practitioners, and policymakers to share insights, research findings, and innovative practices that explore the transformative potential of AI in delivering efficient, transparent, and citizen-centric public services.

AIPOST focuses on both the theoretical foundations and the practical applications of generative AI, and welcomes interdisciplinary contributions from computer science, data science, public policy, law, ethics, and the social sciences. By connecting emerging technologies with the real-world challenges of public sector institutions, the journal aims to bridge research and practice and to inform evidence-based policy and implementation.

Scope

The scope of AIPOST includes, but is not limited to:

• Generative AI for public policy development and decision-support systems;
• AI-driven innovations in governance, healthcare, education, urban management, and social services;
• Ethical, legal, and social implications of AI adoption in the public sector;
• Case studies and evaluations of real-world AI deployments in government organizations;
• Strategies for digital transformation, accountability, inclusivity, and public value creation;
• Comparative and cross-national studies on AI use in public services.

Open Access & Peer Review

AIPOST is committed to open access: all articles are published freely and may be read, downloaded, and shared without subscription barriers. Submissions undergo a rigorous peer-review process to ensure high standards of scholarly quality and integrity. Manuscripts are evaluated for originality, methodological rigor, policy relevance, and contribution to the field.

What We Publish

We welcome a range of article types, including original research articles, review papers, policy analyses, technical notes, and practice-oriented case studies. Contributions that combine empirical evidence, theoretical insight, and practical recommendations for public sector stakeholders are particularly encouraged.

Audience & Impact

AIPOST serves researchers, public servants, policy advisors, technologists, and civil society actors who are interested in how generative AI can be responsibly and effectively integrated into public sector workflows. The journal aims to inform policy, improve implementation practices, and stimulate interdisciplinary dialogue that advances ethical, transparent, and equitable AI-driven public services.

Editorial Standards & Ethics

All submissions must adhere to the journal’s ethical guidelines. Authors must ensure originality, proper attribution, and compliance with relevant ethical approvals (for research involving human subjects or sensitive data). Conflicts of interest must be disclosed, and authors are expected to follow data protection and privacy best practices.

How to Submit

Manuscripts should be submitted via the journal’s online submission system (OJS). Please consult the For Authors page for detailed submission guidelines, formatting requirements, and the peer-review timeline.

Aims

Through rigorous scholarship and practitioner-oriented contributions, AIPOST seeks to promote the responsible adoption of generative AI in public institutions, encourage innovation that delivers public value, and support research that addresses the social, ethical, and legal dimensions of AI in governance.

For enquiries or further information, please contact the editorial office at: clientservices@americanai.com.